原文传递
Vehicle Fault Diagnosis Technology Based on Multi-Information Fusion
| 题名： | Vehicle Fault Diagnosis Technology Based on Multi-Information Fusion |
| 正文语种： | 中文 |
| 作者： | Cao Kai Li Kai Fan Zhirong Wu Xiaolu Yue Yi'e |
| 作者单位： | ongfeng Motor orporation Technical enter |
| 关键词： | vehicle fault diagnosis information fusion intelligent diagnosis RBF neural network D-S evidence theory |
| 摘要： | An information fusion fault diagnosis approach is proposed for vehicle fault diagnosis in this paper.It is based on RBF neural network for data level fusion diagnosis and D-S evidence theory for decision level fusion diagnosis.Using for coolant temperature sensor,oxygen sensor,manifold absolutely pressure sensor ageing fault,the results show that with the increase of input source number,fusion diagnosis precision is improved; And with RBF neural network diagnosis as a source of evidence for decision fusion,the precision of the fusion diagnosis is improved up to 90%,and the reliability of the final diagnosis results is also increased. |
| 会议日期： | 201510 |
| 会议举办地点： | 上海 |
| 会议名称： | 2015中国汽车工程学会年会 |
| 出版日期： | 2015-09-30 |
| 母体文献： | 2015中国汽车工程学会年会论文集 |
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